A package for the sparse identification of nonlinear dynamical systems from data
-
Updated
Dec 20, 2024 - Python
A package for the sparse identification of nonlinear dynamical systems from data
A Python Package For System Identification Using NARMAX Models
A differentiable physics engine for robotics
PDE-Net: Learning PDEs from Data
Control adaptive filters with neural networks.
A framework for gene expression programming (an evolutionary algorithm) in Python
A unified end-to-end learning and control framework that is able to learn a (neural) control objective function, dynamics equation, control policy, or/and optimal trajectory in a control system.
System Identification toolbox, compatible with ControlSystems.jl
Embedded Firmware Control Systems Toolbox (Pure C and GNU Octave)
State estimation, smoothing and parameter estimation using Kalman and particle filters.
A MATLAB package for modelling multivariate stimulus-response data
AutoKoopman - automated Koopman operator methods for data-driven dynamical systems analysis and control.
Subspace methods for MIMO system identification
The usage of MATLAB System Identification Toolbox and PID parameters adjustment
A fully-featured flight simulator, capable of real-time lifting-line aerodynamic modelling.
SLICOT - A Fortran subroutines library for systems and control
My collection of implementations of adaptive filters.
Vibration Testing module affiliated with the in-progress manuscript Vibration Testing with Modal Analysis and Health Monitoring- Python version
System identification with MuJoCo
Add a description, image, and links to the system-identification topic page so that developers can more easily learn about it.
To associate your repository with the system-identification topic, visit your repo's landing page and select "manage topics."